Back to episode — Episode 1525 Scott Adams - Can AI Spot Fake News For You? And What if it Could? Lots More.
Context —
here might actually be like an organized movement at some point of people who are using the technology that they've learned — technique I guess I'd say, maybe technique is better — for finding places that they have bias on their own and figuring out how it got there and figuring out how to get rid of it. Maybe. Yeah, we might have free brains. Speaking of that, there was a Gallup poll talking abo…
← Previous segment →ame years that Democrats were getting a far greater trust in the media than they ever had before? What was happening? Well, the fake Russia collusion hoax was mostly the news, fake news. The fine people hoax happened then. The drinking bleach hoax and lots of other hoaxes. All that, everything else. So during a period of unambiguously massive fake news, the kind maybe we've never seen so much in one time, during the most obvious, grotesque, overwhelming fake news period, Democrats substantially improved their trust in the media. That would rate almost hard to believe the rate at which they were being lied to and their trust increased substantially. At the same time the Republicans decreased.
What happened? What happened is it just they were hearing what they wanted to hear. Ah, that's probably a lot of it, right? A lot of the fake news went their way. As long as the fake news went their way, they're good with it. Love this fake news. This is agreeing with me like crazy. Hey, I thought Trump was crazy and now the news says Trump is crazy. Feeling pretty good about myself being all right like that and everything.
But here's another factor. What is it that makes people believe the news and what is it that makes something viral and makes it the news? What is the quality of a story that makes it really, really big news, the one you really pay attention to? What one quality of that story makes it the thing you can't look away from? It's not true. That's the primary quality that makes you watch the news, that it is not true. If it were true it wouldn't be interesting. Sorry, reality just doesn't serve up an interesting story every day. It fits into this little box, but lies do. You know you can always fill the space with a lie.
So there is a real thing, an observed effect, that the less likely it is to be true, the more attention it's going to get because it's more provocative that way. So Democrats were just basically gassing themselves with their own fake news and loving every minute of it apparently.
Do you want to hear the most disturbing story of the day? One that you won't even know what to say. This will be so disturbing that you'll be at a loss for words. So that's my challenge.
Eric, I will take that advice.
Most disturbing story: Dr. Eli David on Twitter. He tweets this. I'll just read you his tweet so that I don't get anything wrong. He says this week — so he works in AI I guess and writes about it — he said, "This week I interviewed a bright AI researcher working for one of the biggest pharmaceutical companies." And man, do I wish I knew the name of the company and you will too in a moment, right? So it's an AI researcher who worked for a big pharma company. "I asked him why he wants to leave his current position." So he told me the story. His team had developed an accurate AI model predicting whether one of their expensive drugs would be effective for a patient or not. You know, as you know, not every drug works with every patient the same way. It could have a genetic component, maybe some other components. I'm not sure what the AI took into effect, but apparently they got really accurate results and they could tell you in advance whether you should take this drug.
Now this is great, right? How great is this? If you knew in advance a drug wouldn't work for you, you wouldn't waste months taking a drug that wasn't helping and then you would have maybe a greater chance of getting onto
Context —
a drug that does help or something that helps. So huge development. I mean, wow, what a step forward in our ability to give people the right medicine. So there, an AI model that can predict whether an expensive drug will work. That's big stuff. This should have been like a world headline. I mean it's so important. So how'd it go? Well, not the way you hope. Not the way you hope. So he developed t…
Next segment → →